Emerging Trends in Neuro Engineering and Neural Computation (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
264
Utgivningsdatum
2018-12-11
Upplaga
Softcover reprint of the original 1st ed. 2017
Förlag
Springer Verlag, Singapore
Medarbetare
Lee, Kendall H. / Garmestani, Hamid
Illustrationer
50 Tables, color; 86 Illustrations, color; 22 Illustrations, black and white; X, 264 p. 108 illus.,
Dimensioner
234 x 156 x 15 mm
Vikt
390 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9789811350092
Emerging Trends in Neuro Engineering and Neural Computation (häftad)

Emerging Trends in Neuro Engineering and Neural Computation

Häftad Engelska, 2018-12-11
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This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologies/techniques in the medical domain in the treatment of neural disorders.
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Innehållsförteckning

Novel and Innovative Interfaces for Microelectrode Array (MEA) Systems.- Deep Brain Stimulation Devices.- Optogenetics Stimulation Technologies.- Micro-Electromechanical (MEM) Systems.- Neuroimaging for Biomarkers Detection.- Information Acquisition and Processing of Data.- Signal Processing and Pattern Analysis.- Neural Computation and Classification.